head to head · open source
PageIndex vs mcp-server-elasticsearch
PageIndex has 35,765 GitHub stars, 3,152 forks, 103 open issues and last shipped yesterday. mcp-server-elasticsearch has 718 stars, 155 forks, 23 open issues and last shipped yesterday. PageIndex leads on adoption by 4,881% (35,765 vs 718 stars). PageIndex is written in Python under MIT; mcp-server-elasticsearch is written in Rust under Apache-2.0. PageIndex has attracted 9% as many forks as stars, mcp-server-elasticsearch 22%. mcp-server-elasticsearch was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (vector-database), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| PageIndex | mcp-server-elasticsearch | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 718 |
| License | MIT | Apache-2.0 |
| Written in | Python | Rust |
| Last push | 2026-09-19 | 2026-09-19 |
| Forks | ⑂ 3.2K | ⑂ 155 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PageIndex if
- You weight community size — 36K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick mcp-server-elasticsearch if
- You want the mcp-server-elasticsearch feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and mcp-server-elasticsearch fits your workflow better
About PageIndex
PageIndex is a vectorless, reasoning based retrieval augmented generation engine written in Python and released under the MIT license. It lives in the AI and machine learning infrastructure ecosystem, with topics spanning RAG, information retrieval, LLM reasoning, context engineering, and agentic AI. Instead of building a vector index, PageIndex generates a hierarchical tree index for each document and then lets a large language model reason its way through that tree, in the same way a human expert turns to the right section of a long report. The project ships as a Python SDK, a hosted cloud service, and a docume…
read the full PageIndex overview →
About mcp-server-elasticsearch
Connects AI agents to Elasticsearch data over Model Context Protocol so agents can query, analyze, and retrieve from indices in natural language without custom APIs — built for teams running Elasticsearch 8.x or 9.x that want MCP compatible clients such as Claude Desktop, Cursor, or VS Code to read their indices, though it is now deprecated in favour of the Elastic Agent Builder MCP endpoint.
read the full mcp-server-elasticsearch overview →
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Frequently asked questions
Is PageIndex or mcp-server-elasticsearch more popular?
PageIndex has 35,765 GitHub stars and mcp-server-elasticsearch has 718. PageIndex has the larger community by that measure.
Are PageIndex and mcp-server-elasticsearch free?
Both are open source. PageIndex is licensed under MIT and mcp-server-elasticsearch under Apache-2.0. Neither carries a licence fee.
What is the difference between PageIndex and mcp-server-elasticsearch?
PageIndex is written in Python and mcp-server-elasticsearch in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, PageIndex or mcp-server-elasticsearch?
Choose PageIndex if you want the larger community (35,765 stars) or its MIT licence terms. Choose mcp-server-elasticsearch if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.